Many tests for predictive biomarkers in tumors focus on selected known mutations or regions (e.g. hotspot panels). In a new study, scientists at Molecular Health examined the rates of secondary mutations in known biomarker genes and their potential impact on the diagnostic reliability of specific single-nucleotide variant (SNV) biomarker testing.
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